T. L. Szabo, Diagnostic ultrasound imaging: inside out, Biomedical Engineering Series, 2004.

J. L. Prince and J. M. Links, Medical imaging signals and systems, 2006.

G. T. Clement, J. Huttunen, and K. Hynynen, Superresolution ultrasound imaging using back-projected reconstruction, The Journal of the Acoustical Society of America, vol.118, issue.6
DOI : 10.1121/1.2109167

M. A. Ellis, F. Viola, and W. F. Walker, Super-Resolution Image Reconstruction Using Diffuse Source Models, Ultrasound in Medicine & Biology, vol.36, issue.6, pp.967-977, 2010.
DOI : 10.1016/j.ultrasmedbio.2010.03.002

T. F. Chan and C. Wong, Total variation blind deconvolution, IEEE Transactions on Image Processing, vol.7, issue.3, pp.370-375, 1998.
DOI : 10.1109/83.661187
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.54.1221

T. Taxt, Restoration of medical ultrasound images using two-dimensional homomorphic deconvolution, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, vol.42, issue.4, pp.543-554, 1995.
DOI : 10.1109/58.393097

S. C. Park, M. K. Park, and M. G. Kang, Super-resolution image reconstruction: a technical overview, IEEE Signal Processing Magazine, vol.20, issue.3, pp.21-36, 2003.
DOI : 10.1109/MSP.2003.1203207

R. Morin, A. Basarab, M. Ploquin, and D. Kouamé, Post-processing multiple-frame super-resolution in ultrasound imaging, Medical Imaging 2012: Ultrasonic Imaging, Tomography, and Therapy, 2012.
DOI : 10.1117/12.910711

L. Wang, L. Xiao, J. Zhang, and Z. Wei, New image restoration method associated with tetrolets shrinkage and weighted anisotropic total variation, Signal Processing, vol.93, issue.4, pp.661-670, 2013.
DOI : 10.1016/j.sigpro.2012.09.004

H. Ji and K. Wang, Robust Image Deblurring With an Inaccurate Blur Kernel, IEEE Transactions on Image Processing, vol.21, issue.4, pp.1624-1634, 2012.
DOI : 10.1109/TIP.2011.2171699

O. Michailovich and A. Tannenbaum, Blind Deconvolution of Medical Ultrasound Images: A Parametric Inverse Filtering Approach, IEEE Transactions on Image Processing, vol.16, issue.12, pp.3005-3019, 2007.
DOI : 10.1109/TIP.2007.910179

S. Dolui and O. V. Michailovich, Blind deconvolution of medical ultrasound images using variable splitting and proximal point methods, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.1-5, 2011.
DOI : 10.1109/ISBI.2011.5872341

C. Yu, C. Zhang, and L. Xie, A blind deconvolution approach to ultrasound imaging, IEEE Trans. Ultrason. Ferroelectr. Freq. Control, vol.59, issue.2, pp.271-280, 2012.

D. Kundur and D. Hatzinakos, Blind image deconvolution, IEEE Signal Processing Magazine, vol.13, issue.3, pp.43-64, 1996.
DOI : 10.1109/79.489268

A. K. Takahata, E. Z. Nadalin, R. Ferrari, L. T. Duarte, R. Suyama et al., Unsupervised Processing of Geophysical Signals: A Review of Some Key Aspects of Blind Deconvolution and Blind Source Separation, IEEE Signal Processing Magazine, vol.29, issue.4, pp.27-35, 2012.
DOI : 10.1109/MSP.2012.2189999

]. R. Morin, A. Basarab, and D. Kouamé, Alternating direction method of multipliers framework for super-resolution in ultrasound imaging, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), pp.1595-1598, 2012.
DOI : 10.1109/ISBI.2012.6235880

L. I. Rudin, S. Osher, and E. Fatemi, Nonlinear total variation based noise removal algorithms, Physica D: Nonlinear Phenomena, vol.60, issue.1-4, pp.259-268, 1992.
DOI : 10.1016/0167-2789(92)90242-F

C. Quinsac, A. Basarab, and D. Kouamé, Frequency Domain Compressive Sampling for Ultrasound Imaging, Advances in Acoustics and Vibration, pp.1-16, 2012.
DOI : 10.1109/58.139123

M. Ng, P. Weiss, and X. Yuang, Solving constrained totalvariation image restoration and reconstruction problems via alternating direction methods, SIAM journal on Scientific Computing, vol.32, 2010.
DOI : 10.1137/090774823

M. V. Afonso, J. M. Bioucas-dias, and M. A. Figueiredo, An Augmented Lagrangian Approach to the Constrained Optimization Formulation of Imaging Inverse Problems, IEEE Transactions on Image Processing, vol.20, issue.3, pp.681-695, 2011.
DOI : 10.1109/TIP.2010.2076294

J. A. Jensen, A model for the propagation and scattering of ultrasound in tissue, The Journal of the Acoustical Society of America, vol.89, issue.1, pp.182-191, 1991.
DOI : 10.1121/1.400497

J. A. Jensen, J. Mathorne, T. Gravesen, and B. Stage, Deconvolution of in-vivo ultrasound B-mode images, Ultrason. Imaging, vol.15, pp.122-133, 1993.

J. A. Jensen and S. Leeman, Nonparametric estimation of ultrasound pulses, IEEE Transactions on Biomedical Engineering, vol.41, issue.10, pp.929-936, 1994.
DOI : 10.1109/10.324524

A. V. Oppenheim and R. W. Schafer, Discrete-time signal processing , Upper Saddle River, 1989.

O. Besson, S. Bidon, and C. L. Tournemine, Robust approaches to remote calibration of a transmitting array, Signal Processing, pp.1373-1381, 2010.
DOI : 10.1016/j.sigpro.2009.09.008

Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, Image Quality Assessment: From Error Visibility to Structural Similarity, IEEE Transactions on Image Processing, vol.13, issue.4, pp.600-612, 2004.
DOI : 10.1109/TIP.2003.819861